Jiadai Sun

Orcid: 0000-0001-9593-0873

According to our database1, Jiadai Sun authored at least 23 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Joint Scene Flow Estimation and Moving Object Segmentation on Rotational LiDAR Data.
IEEE Trans. Intell. Transp. Syst., November, 2024

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning.
CoRR, 2024

AutoGLM: Autonomous Foundation Agents for GUIs.
CoRR, 2024

VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

2023
MUNet: Motion uncertainty-aware semi-supervised video object segmentation.
Pattern Recognit., June, 2023

MFF-Net: Towards Efficient Monocular Depth Completion With Multi-Modal Feature Fusion.
IEEE Robotics Autom. Lett., 2023

Digging into Depth Priors for Outdoor Neural Radiance Fields.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation.
IROS, 2023

Forward Flow for Novel View Synthesis of Dynamic Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning a Task-Specific Descriptor for Robust Matching of 3D Point Clouds.
IEEE Trans. Circuits Syst. Video Technol., 2022

Searching Dense Point Correspondences via Permutation Matrix Learning.
IEEE Signal Process. Lett., 2022

CU-Net: LiDAR Depth-Only Completion With Coupled U-Net.
IEEE Robotics Autom. Lett., 2022

Self-supervised rigid transformation equivariance for accurate 3D point cloud registration.
Pattern Recognit., 2022

A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration.
IEEE Geosci. Remote. Sens. Lett., 2022

A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration.
CoRR, 2022

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Neural Deformable Voxel Grid for Fast Optimization of Dynamic View Synthesis.
Proceedings of the Computer Vision - ACCV 2022, 2022

End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Deep learning based point cloud registration: an overview.
Virtual Real. Intell. Hardw., 2020


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